DirecciónAmazon Consumables Private Brands is looking for a high performing, motivated Business Intelligence Engineer to support our business in developing new dashboards and internal-facing data products.
In this role you'll have the opportunity to deliver results using core AWS products including Redshift, Quicksight, S3, Sagemaker, EC2, Lambda and Glue.
If you're a problem solver with the ability to dive deep into our huge data warehouse and produce scalable solutions, then this role is for you!
As a Business Intelligence Engineer, you will be responsible for designing, developing, and maintaining our data warehouse, Business Intelligence reports, and analytics solutions.
You will work closely with stakeholders across multiple teams to understand their needs, and design and implement solutions that provide meaningful insights into the company's operations, trends, and performance.
Key job responsibilities
- Design, develop, and maintain data warehouses, ETL pipelines, and data models to support Business Intelligence and reporting needs.
- Collaborate with internal stakeholders across multiple teams to understand business requirements and design and implement end to end solutions that meet their needs.
- Develop and maintain dashboards and reports using visualization tools such as QuickSight, Tableau, Power BI, or similar tools.
- Perform data analysis to identify trends, patterns, and insights that inform business decisions.
- Monitor data quality and ensure that data is accurate and up-to-date.
- Conduct performance tuning and optimization of data warehouses and ETL pipelines to ensure that queries run efficiently.
- Stay up-to-date with the latest trends and technologies in Business Intelligence and data analytics.
A day in the life
We aim to work 70% of the time on Roadmap projects while the other 30% is dedicated to maintenance tasks and solving issues we could have in some of our data pipelines or data products.
Those data products can vary from QuickSight Dashboards to Web Applications or simple Excel Reports. As BIE, you'll support EU CPB specific needs and work on WW APB projects for Deals and Supply Chain.
You will collaborate very frequently with business stakeholders to understand their requirements, analyze them, design a solution, implement it and validating it with them, documenting all your work properly.
About the team
The vision of CPB is to be the intuitive choice of daily essentials at unrivalled value that delights customers and keeps them coming back for more.
This team supports that by designing / building robust BI solutions that provide insights from complex datasets. We work with Big Data technologies to help understand "what happened" (reports, dashboards), "why did it happen" (bridges, deep-dives), "what will happen next" (forecasting) and "what is the next best move" (recommendations, optimization).
We strive to be the reference BI team in Private Brands for both business and BI teams for what we do and how we do it.
Inclusive Team Culture
Here at Amazon Consumables Private Brands, we embrace our differences and are committed to furthering our culture of inclusion.
We host frequent learning experiences to ensure DEI is consistently treated as a priority. We actively recruit people from diverse backgrounds to build a supportive and inclusive workplace, and take steps to ensure employees have a sense of belonging, value, and opportunity.
Our team is dedicated to supporting you with mentorship and pathways for ongoing development. We have a broad mix of experience levels and tenures, and are building an environment that celebrates knowledge sharing and promotes career choice.
The perks of being an Amazon employee don't stop at collaborating with great people on exciting and innovative projects.
Amazon’s benefits support the needs of our diverse workforce and their family members, no matter what stage they’re at in their life or career.
We are open to hiring candidates to work out of one of the following locations :
Madrid, M, ESP
BASIC QUALIFICATIONS
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data / BI space
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
